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作 者:张强 黄鑫[1] 马浩珲 陈宇 于冰 ZHANG Qiang;HUANG Xin;MA Haohui;CHEN Yu;YU Bing
机构地区:[1]中国石油集团东方地球物理勘探有限责任公司西南物探分公司,四川成都610213 [2]西南石油大学土木工程与测绘学院
出 处:《物探装备》2024年第3期190-194,198,共6页Equipment for Geophysical Prospecting
摘 要:本文简要介绍了机载激光雷达(LiDAR)技术特点及点云滤波分类方法,结合川渝探区机载激光雷达和物探测量生产项目,重点对几种典型点云滤波算法及其构建的DEM进行了精度验证和适应性分析。研究表明:机载激光雷达DEM整体能够满足石油物探相关精度要求;在地形平缓、植被稀疏区,高程精度较高、质量可靠;在地形复杂、植被茂密区,高程精度相对较差、较难满足更高要求。同时,本文还探讨了困难区如何提高资料品质、成果精度。This work briefly introduces the characteristics of airborne LiDAR technology and point cloud filtering and classification methods.Combined with airborne LiDAR and geophysical surveying projects in Sichuan and Chongqing region,it mainly focuses on the accuracy verification and adaptability analysis of several typical point cloud filtering algorithms and their constructed DEM.The result indicates that in general,the airborne LiDAR DEM data could meet the accuracy requirements of petroleum geophysical exploration;In flat terrain and sparse vegetation areas,the elevation accuracy is high and the quality is reliable;In mountainous areas with complex terrain and dense vegetation,the elevation accuracy is relatively poor and difficult to meet higher requirements.Meanwhile,this paper also discusses how to improve the quality of data acquisition and the accuracy of DEM in difficult areas.
分 类 号:P631[天文地球—地质矿产勘探]
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